Spatio-temporal distribution of spionids (Polychaeta-Spionidae) in an estuarine system in south-central Chile

Abstract An increasing interest in models for multivariate spatio-temporal processes has been noted in the last years. Some of these models are very flexible and can capture both marginal and cross spatial associations amongst the components of the multivariate process. In order to contribute to the statistical analysis of these models, this paper deals with the estimation and prediction of multivariate spatio-temporal processes by using multivariate state-space models. In this context, a multivariate spatio-temporal process is represented through the well-known Wold decomposition. Such an approach allows for an easy implementation of the Kalman filter to estimate linear temporal processes exhibiting both short and long range dependencies, together with a spatial correlation structure. We illustrate, through simulation experiments, that our method offers a good balance between statistical efficiency and computational complexity. Finally, we apply the method for the analysis of a bivariate dataset on average daily temperatures and maximum daily solar radiations from 21 meteorological stations located in a portion of south-central Chile.

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CHEMICAL CHARACTERIZATION OF A MUNICIPAL LANDFILL AND ITS INFLUENCE ON THE SURROUNDING ESTUARINE SYSTEM, SOUTH CENTRAL CHILE

Boletín de la Sociedad Chilena de Química ◽

10.4067/s0366-16442000000400005 ◽

2000 ◽

Vol 45 (4) ◽

Cited By ~ 1

Author(s):

Hernán Palma-Fleming ◽

Eduardo Quiroz ◽

Elena Gutierrez ◽

Erik Cristi ◽

Bernardo Jara ◽

...

Keyword(s):

Chemical Characterization ◽

Estuarine System ◽

Central Chile ◽

Municipal Landfill ◽

South Central

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Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration

Remote Sensing ◽

10.3390/rs13112022 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2022

Author(s):

Mario Lillo-Saavedra ◽

Viviana Gavilán ◽

Angel García-Pedrero ◽

Consuelo Gonzalo-Martín ◽

Felipe de la Hoz ◽

...

Keyword(s):

Supply And Demand ◽

Landsat 8 ◽

Multiple Sources ◽

Central Chile ◽

South Central ◽

Ex Post ◽

Source Data ◽

Spatio Temporal ◽

The Difference

In this work, we present a new methodology integrating data from multiple sources, such as observations from the Landsat-8 (L8) and Sentinel-2 (S2) satellites, with information gathered in field campaigns and information derived from different public databases, in order to characterize the water demand of crops (potential and estimated) in a spatially and temporally distributed manner. This methodology is applied to a case study corresponding to the basin of the Longaví River, located in south-central Chile. Potential and estimated demands, aggregated at different spatio-temporal scales, are compared to the streamflow of the Longaví River, as well as extractions from the groundwater system. The results obtained allow us to conclude that the availability of spatio-temporal information on the water availability and demand pairing allows us to close the water gap—i.e., the difference between supply and demand—allowing for better management of water resources in a watershed.

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